Triple
T19319032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Szöllőskislaki Kármán Tódor |
E483171
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Tódor |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tódor | Statement: [Szöllőskislaki Kármán Tódor, givenName, Tódor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tódor Context triple: [Szöllőskislaki Kármán Tódor, givenName, Tódor]
-
A.
Dimitar
Dimitar is a masculine given name of Slavic origin, commonly used in Bulgaria and other Eastern European countries.
-
B.
Teodor
chosen
Teodor is a given name, commonly used in various European languages, that corresponds to the English name Theodore.
-
C.
Tivadar
Tivadar is a Hungarian masculine given name, equivalent to Theodore, historically borne by several notable Hungarian figures.
-
D.
Chudomir
Chudomir was a renowned Bulgarian writer, humorist, and painter known for his satirical short stories and vivid depictions of rural life.
-
E.
Ilija
Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d868dd48190b1439a5f4ff58c48 |
completed | April 20, 2026, 11:27 a.m. |
Created at: April 10, 2026, 1:32 p.m.